Objective: To provide an overview of ML models and data streams utilized for automated
surgical phase recognition. Background: Phase recognition identifies different steps and …

Accurate and objective performance assessment is essential for both trainees and certified
surgeons. However, existing methods can be time consuming, labor intensive, and subject …

This paper introduces SKiT, a fast Key information Transformer for phase recognition of
videos. Unlike previous methods that rely on complex models to capture long-term temporal …

OBJECTIVE To synthesize peer-reviewed evidence related to the use of artificial intelligence
(AI) in surgical education DESIGN We conducted and reported a scoping review according …

Background Technical skill assessment in surgery relies on expert opinion. Therefore, it is
time-consuming, costly, and often lacks objectivity. Analysis of intraoperative data by artificial …

Surgical training in medical school residency programs has followed the apprenticeship
model. The learning and assessment process is inherently subjective and time-consuming …

The prevalence of renal cell carcinoma (RCC) is increasing due to advanced imaging
techniques. Surgical resection is the standard treatment, involving complex radical and …

Background Robotic-assisted surgery (RAS) potentially reduces workload and shortens the
surgical learning curve compared to conventional laparoscopy (CL). The present study …

Artificial intelligence (AI) has made significant progress in recent years, and many medical
fields are attempting to introduce AI technology into clinical practice. Currently, much …

Artificial intelligence (AI) has made considerable progress within the last decade and is the
subject of contemporary literature. This trend is driven by improved computational abilities …